In order to find effective ways to control atmospheric environment, this paper mainly studies the Spatial-temporal features of atmospheric pollutant distribution in the past 2014-2017 years. The particulate matter concentration was retrieved by remote sensing data and all data would be processed by Kriging method. The results show that most pollutant concentration decreased, especially SO2, PM2.5 and PM10, though the ozone problem is beginning to stand out; In addition, CO concentration in different regions varies in different seasons, meanwhile other pollutants do not like this.
| Published in | Science Discovery (Volume 7, Issue 2) |
| DOI | 10.11648/j.sd.20190702.18 |
| Page(s) | 98-106 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Atmospheric Pollutant, Inversion, Kriging, Remote Sensing Data, Spatial-Temporal Features
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APA Style
Tang Xiru, Xu Liping, Liu Shufu, Shen Chunming, Wang Bin, et al. (2019). Features of Atmospheric Pollutant in Beijing Region from 2014 to 2017. Science Discovery, 7(2), 98-106. https://doi.org/10.11648/j.sd.20190702.18
ACS Style
Tang Xiru; Xu Liping; Liu Shufu; Shen Chunming; Wang Bin, et al. Features of Atmospheric Pollutant in Beijing Region from 2014 to 2017. Sci. Discov. 2019, 7(2), 98-106. doi: 10.11648/j.sd.20190702.18
AMA Style
Tang Xiru, Xu Liping, Liu Shufu, Shen Chunming, Wang Bin, et al. Features of Atmospheric Pollutant in Beijing Region from 2014 to 2017. Sci Discov. 2019;7(2):98-106. doi: 10.11648/j.sd.20190702.18
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Download@article{10.11648/j.sd.20190702.18,
author = {Tang Xiru and Xu Liping and Liu Shufu and Shen Chunming and Wang Bin and Long Tao},
title = {Features of Atmospheric Pollutant in Beijing Region from 2014 to 2017},
journal = {Science Discovery},
volume = {7},
number = {2},
pages = {98-106},
doi = {10.11648/j.sd.20190702.18},
url = {https://doi.org/10.11648/j.sd.20190702.18},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20190702.18},
abstract = {In order to find effective ways to control atmospheric environment, this paper mainly studies the Spatial-temporal features of atmospheric pollutant distribution in the past 2014-2017 years. The particulate matter concentration was retrieved by remote sensing data and all data would be processed by Kriging method. The results show that most pollutant concentration decreased, especially SO2, PM2.5 and PM10, though the ozone problem is beginning to stand out; In addition, CO concentration in different regions varies in different seasons, meanwhile other pollutants do not like this.},
year = {2019}
}
TY - JOUR T1 - Features of Atmospheric Pollutant in Beijing Region from 2014 to 2017 AU - Tang Xiru AU - Xu Liping AU - Liu Shufu AU - Shen Chunming AU - Wang Bin AU - Long Tao Y1 - 2019/05/23 PY - 2019 N1 - https://doi.org/10.11648/j.sd.20190702.18 DO - 10.11648/j.sd.20190702.18 T2 - Science Discovery JF - Science Discovery JO - Science Discovery SP - 98 EP - 106 PB - Science Publishing Group SN - 2331-0650 UR - https://doi.org/10.11648/j.sd.20190702.18 AB - In order to find effective ways to control atmospheric environment, this paper mainly studies the Spatial-temporal features of atmospheric pollutant distribution in the past 2014-2017 years. The particulate matter concentration was retrieved by remote sensing data and all data would be processed by Kriging method. The results show that most pollutant concentration decreased, especially SO2, PM2.5 and PM10, though the ozone problem is beginning to stand out; In addition, CO concentration in different regions varies in different seasons, meanwhile other pollutants do not like this. VL - 7 IS - 2 ER -
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